Walking Aid System for Blind people In Smart House(WASBISH)
-
Updated
Oct 20, 2015 - C
Walking Aid System for Blind people In Smart House(WASBISH)
Processing an Image to find obstacles and the minimum path between two similar objects using OpenCV.
This gives a implementable path planning algorithm over a colored arena with an over head camera connected to the laptop on which your code runs. The bot should have a April Tag for the code to identify the bot over the arena. Bluetooth serial communication is used.
Code and Report of an obstacle detection robot
Project with Team Rudra
This repository consists of the course project for ECEN 5623 Real-Time Embedded Systems
Removes phantom obstacles from maps created from robot point clouds
A machine learning software to detect nearby vehicles from camera feedback
Use lidar car data to detect incoming road obstacles track multiple cars on the road, estimating their positions and speed
Project: Lidar Obstacle Detection || Udacity: Sensor Fusion Engineer Nanodegree
This package is essentially a ros-wrapper of neural_cam. More features would be added in the future, geared towards mobile robot platform. Eventual goal of this package is to solve the problem of given an image, where is the obstacle with respect to the robot in a 3D space.
This is a group project where we designed a autonomous trash delivery robot to help households deliver their trash from home to curb
ROS package for obstacle segmentation in a point cloud scene
A smart cane/stick with obstacle detection and voice feedback on temperature and humidity coordinated with Raspberry Pi 3 via Publish/Subscribe mechanism.
Simple simulation of differential drive robots avoiding obstacles while randomly exploring an environment with ROS and Gazebo. 2nd assignment of the Robotics course at Università della Svizzera Italiana (USI) Lugano.
Line Following and Obstacle Avoidance Lego Mindstorms Robot
Add a description, image, and links to the obstacle-detection topic page so that developers can more easily learn about it.
To associate your repository with the obstacle-detection topic, visit your repo's landing page and select "manage topics."